Lessons Learned from Applying AI; US manufacturing is in trouble. That could spread to the rest of the economy; UK economy to avoid Brexit recession despite shrinking in August – business live. #news #cnn #usmanufacturing #economy #ukeconomy #brexit #technologies #intelligent #ai #manufacturing #mrp #erp #mrpsystem #mrpeasy #erpsystem

1. WEEK 41 IN
MANUFACTURING NEWS

2. Lessons Learned from Applying AI; CNN: US manufacturing is in trouble. That
could spread to the rest of the economy; UK economy to avoid Brexit recession
despite shrinking in August – business live.

3. Recession fears were reinforced on Thursday after the Institute for Supply Management said
its non-manufacturing index dropped to 52.6 last month, down from 56.4 in August. This
barometer of growth among service providers such as banks, restaurants and hotels is now
at the lowest level since August 2016.
Source: CNN Business.
CNN: US manufacturing is in trouble. That
could spread to the rest of the economy.

4. The latest UK GDP report shows that the economy will probably avoid sliding into recession
this autumn
Breaking: GDP fell 0.1% in August…
…but 0.3% quarterly growth means recession looks unlikely
Film and TV work boosted growth
Introduction: UK growth report for August
US-China trade talks resume today
Life feed: The Guardian.
UK economy to avoid Brexit recession
despite shrinking in August – business live

5. Three technologies helping to create
intelligent enterprises of the future
• Digital twin technology – a virtual replica of a physical device, with a bridge capable of
exchanging data and information between the two.
• Customised mobile applications – customized manufacturing apps make their way onto
the production floor.
• Hololens technology – Hololens headsets blend digital imagery with the real world to
help frontline workers learn new skills or carry out their existing work more accurately
and effectively.
Source: The Manufacturer.

6. At a National Academy of Sciences workshop, speakers shared successes and
took a hard look at the challenges ahead.
More research is needed to ensure explainability and trust
To create a skilled workforce, government should reallocate education and
training funds.
Major advances in hardware are required.
AI depends on continued growth in connectivity and ancillary technologies and
associated policies (e.g., cybersecurity).
Innovation will increasingly require collaboration between industry, the
government, and academia.
Source: IndustryWeek.
Lessons Learned from Applying AI: Johnson
Controls, Kaman, Stanley and More

8. https://manufacturing-software-blog.mrpeasy.com/week-41-in-
manufacturing-news/
https://www.mrpeasy.com/